Abstract:
Detecting the rail surface defects is one of the important means to guarantee safe transportation. This paper adopts the image processing technique to detect the defects automatically. A detection system scheme is designed and the detection algorithm is studied with emphasis. It put forwards a rapid real-time detection algorithm based on the pixels brightness. Experiment verifies the validity and high efficiency of the algorithm.
Key words:
Rail,
Surface defect,
Detection algorithm,
Real time
摘要: 对铁路轨道表面缺陷进行检测是保证铁路运输安全的重要手段之一,该文采用计算机图像处理技术对铁路轨道表面的缺陷进行自动化检测,提出了轨道表面缺陷检测的系统设计方案,给出了一种利用图像灰度信息的快速、实时检测算法。实验验证了算法的有效性和高效性。
关键词:
轨道,
表面缺陷,
检测算法,
实时
CLC Number:
LIU Yunhui; LIU Tie; WANG Quanliang; LUO Siwei. Rail Surface Defects Detection Algorithm Based on Image Processing[J]. Computer Engineering, 2007, 33(11): 236-238.
刘蕴辉;刘 铁;王权良;罗四维. 基于图像处理的铁轨表面缺陷检测算法[J]. 计算机工程, 2007, 33(11): 236-238.